RRepoGEO

REPOGEO REPORT · LITE

Q00/ouroboros

Default branch main · commit 67e54497 · scanned 5/16/2026, 11:01:21 PM

GitHub: 4,095 stars · 391 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Q00/ouroboros, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify the project's core function immediately in the README

    Why:

    CURRENT
    The README starts with language links, ASCII art, and a tagline, delaying the explicit statement of its function as an 'Agent OS for AI coding.'
    COPY-PASTE FIX
    # Ouroboros: Agent OS for Reproducible AI Coding

Ouroboros is a local-first runtime layer that transforms non-deterministic AI agent work into replayable, observable, and policy-bound execution contracts, enabling specification-first AI software development.
  • mediumtopics#2
    Expand repository topics with specific AI agent keywords

    Why:

    CURRENT
    agent-os, ai-agent, mcp
    COPY-PASTE FIX
    agent-os, ai-agent, mcp, ai-coding, reproducible-ai, specification-first, llm-orchestration, agent-framework, prompt-engineering-alternative
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Q00/ouroboros

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface Q00/ouroboros
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 3×
  2. run-llama/llama_index · recommended 2×
  3. joaomdmoura/crewAI · recommended 2×
  4. Significant-Gravitas/AutoGPT · recommended 1×
  5. deepset-ai/haystack · recommended 1×
  • CATEGORY QUERY
    Need a framework for building reliable, reproducible AI coding agents.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. AutoGPT (Significant-Gravitas/AutoGPT)
    4. Haystack (deepset-ai/haystack)
    5. CrewAI (joaomdmoura/crewAI)
    6. Microsoft Guidance (microsoft/guidance)

    AI recommended 6 alternatives but never named Q00/ouroboros. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an alternative to prompt engineering for AI-driven software development.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. OpenAI API
    3. LlamaIndex (run-llama/llama_index)
    4. LangChain (langchain-ai/langchain)
    5. LangChain Agents (langchain-ai/langchain)
    6. AutoGPT (significant-gravitas/AutoGPT)
    7. CrewAI (joaomdmoura/crewAI)
    8. Stable Baselines3 (DLR-RM/stable-baselines3)
    9. PyTorch (pytorch/pytorch)
    10. TensorFlow (tensorflow/tensorflow)
    11. Copilot for Xcode

    AI recommended 11 alternatives but never named Q00/ouroboros. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of Q00/ouroboros?
    pass
    AI named Q00/ouroboros explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts Q00/ouroboros in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Q00/ouroboros explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo Q00/ouroboros solve, and who is the primary audience?
    pass
    AI named Q00/ouroboros explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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Q00/ouroboros — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite